Definition: Game theory is the mathematics of strategy.
Two Types of Games of Chance A game whose outcome is strongly influenced by some randomizing device, such as dice, spinners or cards. Total Information Games A game where the players know, in advance, all the game options and a player’s decisions throughout the game are based on the previous player’s decision.
A Winning Strategy: Analyze a Total Information Game to determine the strategy that gives you the best chance to win the game.
Possible Outcomes: A list of all the things that could happen in a situation. (game)
Lesson Objectives: Gather data to determine winning outcomes for a game. Analyze the data to determine the best winning strategy. List all the possible outcomes for a game. Analyze the possible outcomes to determine the best winning strategy. Apply this winning strategy to similar games.
Experimental Probability: Experimental probability is the ratio of the number of desirable occurrences of an event to the total number occurrences of the event. Example: Tossing a coin If you tossed a coin 10 times, recorded heads 7 times and tails 3 times, then the experimental probabilities are: P(H) = 7/10 70% P(T) = 3/10 30%
Theoretical Probability: Theoretical probability is the ratio of the number of ways the event can occur to the total number of possibilities in the sample space. Example: tossing a die P(1)=1/6 P(2)=1/6 P(5)=1/6 P(3)=1/6 P(6)=1/6
In a nutshell: Experimental Probability is what happened when you did the activity. Theoretical Probability is what should have happened if everything turned out the way is was supposed to.